Develop and improve multi-sensor navigation technology as a location estimation engineer. Craft the next generation of location-aware mobile experiences by working on state-of-the-art technologies to seamlessly integrate people’s digital and physical lives. Are you passionate about building technology that will make a difference? Do you flourish with good creative challenges? Do you love attention to detail? If so, we might just be the team for you.
Description
Here at Apple, we build devices and services that enrich our customers’ lives. In the location technologies group, we help people connect: with each other, and with our planet. We reach more than a billion people. We help them find their way, and we help them find each other. We help them stay healthy, and sometimes we even save their lives. What we do and how we do it makes a difference. Join our team, and we’ll help you do the best work of your life.
If you join our team, you’ll research, design, develop, debug, and support location estimation software. You’ll also collaborate to qualify performance and support commercialization for hundreds of millions of users on multiple hardware families. You’ll work with customers of location, both internal and external, to make best use of your work to support their applications.
Minimum Qualifications
Graduate degree in Engineering, Computer Science or a related field or a Bachelor’s degree with equivalent experience in positioning and Bayesian estimation.
Proficient in Bayesian estimation concepts and Kalman filtering
Proficient in statistics concepts and statistical data analysis
Proficient in C++
Familiar with modern object-oriented programming concepts and design patterns
Preferred Qualifications
Interested in location technologies and eager to experiment with state-of-the-art techniques
Good collaborator and communicator
Proficient in GPS / GNSS / radionavigation theory and technology
Experience with inertial navigation systems, visual localization, or other positioning techniques
Familiarity with machine learning
Comfortable implementing complex mathematical algorithms
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
